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Automatic differentiation for Riemannian optimization on low-rank matrix and tensor-train manifolds.
Alexander Novikov
Maxim V. Rakhuba
Ivan V. Oseledets
Published in:
CoRR (2021)
Keyphrases
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low rank matrix
riemannian manifolds
manifold learning
low rank
euclidean space
high order
lie group
semi supervised
convex optimization
log euclidean
tensor field
higher order
low dimensional
sparse matrix
information geometry